Zobrazeno 1 - 10
of 208
pro vyhledávání: '"mixed-attention"'
Autor:
Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Heart disease is a leading cause of death globally; therefore, accurate detection and classification are prominent, and several DL and ML methods have been developed over the last decade. However, the classical approaches may be prone to ove
Externí odkaz:
https://doaj.org/article/58187d25b9e34ea38bb1efa250d5b08b
Publikováno v:
智能科学与技术学报, Vol 6, Pp 244-252 (2024)
The existing seam carving tamper detection algorithms have the problems of low detection accuracy and weak robustness for the case of low scaling factor. A seam carving tamper detection algorithm integrated with hybrid attention mechanism is proposed
Externí odkaz:
https://doaj.org/article/ae9b564738864afbac00658a39389248
Autor:
Chunling Yu
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract The expansion of virtual and augmented reality, intelligent assistance technology, and other fields has led to an increased demand for human–computer interaction methods that are more natural and intuitive. Gesture recognition has become a
Externí odkaz:
https://doaj.org/article/7c0813b2bf294435a696c9632b3896b3
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34845- (2024)
Echocardiography is a key tool for the diagnosis of cardiac diseases, and accurate left ventricular (LV) segmentation in echocardiographic videos is crucial for the assessment of cardiac function. However, since semantic segmentation of video needs t
Externí odkaz:
https://doaj.org/article/66c476fdd90e470d8691938173adeb55
Publikováno v:
IEEE Access, Vol 12, Pp 160074-160082 (2024)
As internet information expands rapidly, extracting valuable event information from unstructured text has become an important research topic. This paper proposes an improved GPT2 model, termed HACLV-GPT2, which is the initial utilization of a GPT-lik
Externí odkaz:
https://doaj.org/article/61bbf741cb8a4f32ad51ab2db29e7fec
Autor:
Rongfeng Zhou, Ping Li, Mingyang Zhang, Qingyao Lin, Yuanyuan Wang, Xuesheng Bian, Feng Zhou, Rugang Wang
Publikováno v:
IEEE Access, Vol 12, Pp 45773-45784 (2024)
Aiming at the conventional low-light enhancement algorithms for low-light image enhancement with problems of loss of details, low contrast and low color saturation, a detection algorithm called CE-Retinex(Cross Expansion Retinex) by incorporating the
Externí odkaz:
https://doaj.org/article/b4645a8503f844a3ab4d87d95847e8d0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6860-6874 (2024)
Super-resolution (SR) based on deep learning has been playing an important role in improving the spatial resolution of remote sensing images. Although convolutional neural networks (CNNs) dominate the research of remote sensing image SR, most of them
Externí odkaz:
https://doaj.org/article/cd8d955b438c4d278081e3a9300e02bd
Publikováno v:
Sensors, Vol 24, Iss 21, p 6882 (2024)
Animal pose estimation is crucial for animal health assessment, species protection, and behavior analysis. It is an inevitable and unstoppable trend to apply deep learning to animal pose estimation. In many practical application scenarios, pose estim
Externí odkaz:
https://doaj.org/article/35903a91d5ae46e2842b7fa62c9d73c0
Publikováno v:
Robotic Intelligence and Automation, 2023, Vol. 43, Issue 4, pp. 455-467.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-01-2023-0001
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